Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features.
- DOI
- 10.1016/j.plaphe.2025.100041
- Published
- 2025 Jun
- Container
- Plant phenomics (Washington, D.C.)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.plaphe.2025.100041,
title = {Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features.},
author = {Jiang N and Yang Z and Zhang H and Zhang C and Wang C and Wang N and Xu C},
year = {2025},
journal = {Plant phenomics (Washington, D.C.)},
doi = {10.1016/j.plaphe.2025.100041},
url = {https://doi.org/10.1016/j.plaphe.2025.100041}
}RIS
TY - JOUR TI - Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features. AU - Jiang N AU - Yang Z AU - Zhang H AU - Zhang C AU - Wang C AU - Wang N AU - Xu C PY - 2025 JO - Plant phenomics (Washington, D.C.) DO - 10.1016/j.plaphe.2025.100041 UR - https://doi.org/10.1016/j.plaphe.2025.100041 ER -
APA
N, J., Z, Y., H, Z., C, Z., C, W., N, W., & C, X. (2025). Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features.. Plant phenomics (Washington, D.C.). https://doi.org/10.1016/j.plaphe.2025.100041
Source records
- pubmed · retrieved 2026-09-26T08:35:48.663Z